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Social Network Analysis of Small Group<br />

using Friendship Network<br />

Nurul Syaheera Binti Din<br />

Supervisor: Assoc. Prof. Dr. Gobithaasan Rudrusamy<br />

Bachelor of Science (Computational Mathematics)<br />

School of Informatics and Applied Mathematics<br />

Social network is a social structure that made up of nodes, ties, given weights, directions<br />

and signs. Individual, intermediate and group measures provides overall social behavior<br />

and interaction. UCINet is social network analysis software used draw and analyze<br />

collected data that allows elucidating complex networks that describing real data. This<br />

research describes the sociality of a batch of Computational Mathematics students and<br />

their interaction that lead to a complex relationship and social structure. The objective is<br />

to investigate the basic principles of social network analysis in terms of relationships and<br />

structures, to identify the differentiation of the group of Computational Mathematics<br />

students by adding few attributes and to use mathematical and graphical techniques to<br />

analyze the collected data and clarify their relationships. The collected data is represented<br />

as a directed graph to measure centrality, subgroup, and cohesion. Results indicate that<br />

Malaysian students mingle based on their gender and religious background which reflects<br />

their grades.<br />

996 | UMT UNDERGRADUATE RESEARCH DAY 2018

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